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A numerical analysis of the evolutionary stability of learning rules

Josephson, Jens (contributor) - 2001 - [Elektronische Ressource]

; Evolutionary game theory ; Evolutionary Stability ; Learning in games ; Belief learning ; Reinforcement learning … class contains perturbed versions of reinforcement and belief learning as special cases. A large population of individuals …, whereas reinforcement learning is unstable in almost all cases. I also find that in certain games, the stability of …

Persistent link: https://www.econbiz.de/10001622441

Stochastic adaption in finite games played by heterogeneous populations

Josephson, Jens (contributor) - 2001 - [Elektronische Ressource]

size. -- Bounded rationality ; Evolutionary game theory ; Imitation ; Better replies ; Markov chain ; Stochastic stability …

Persistent link: https://www.econbiz.de/10001622442

Stochastic better-supply dynamics in games

Josephson, Jens (contributor) - 2000 - [Elektronische Ressource]

In Young (1993, 1998) agents are recurrently matched to play a finite game and almost always play a myopic best reply to a frequency distribution based on a sample from the recent history of play. He proves that in a generic class of finite n-player games, as the mutation rate tends to zero,...

Persistent link: https://www.econbiz.de/10001600008

Building neural network models for time series : a statistical approach

Medeiros, Marcelo C. (contributor); … - 2002 - [Elektronische Ressource]

This paper is concerned with modelling time series by single hidden-layer feedforward neural network models. A coherent modelling strategy based on statistical inference is presented. Variable selection is carried out using existing techniques. The problem of selecting the number of hidden units...

Persistent link: https://www.econbiz.de/10001693108

Forecasting with artificial network models

Rech, Gianluigi (contributor) - 2002 - [Elektronische Ressource]

This paper contains a forecasting exercise on 30 time series, ranging on several fields, from economy to ecology. The statistical approach to artificial neural networks modelling developed by the author is compared to linear modelling and to other three well-known neural network modelling...

Persistent link: https://www.econbiz.de/10001645582

Evolution and learning in games

Josephson, Jens - 2001

Persistent link: https://www.econbiz.de/10001628157

Modelling and forecasting economic time series with single hidden-layer feedforward autoregressive artificial neural networks

Rech, Gianluigi - 2001

Persistent link: https://www.econbiz.de/10001628249